Summary: Kellogg Insight takes a look at how humans can learn to work with machines in decision-making, and how machines can learn to understand us. We talk to three researchers who approach these relationships in exciting ways. Kellogg professor Brian Uzzi studies how machine learning can improve human decision making. David Ferrucci, formerly the principal investigator of IBM’s Watson project and now a senior technologist at Bridgewater Associates and founder and CEO of Elemental Cognition, discusses machines as collaborative thought partners. Sandra Waxman, a professor of psychology at Northwestern University, discusses how humans learn to understand the world, and what that means for machine learning.
